#
# This file is autogenerated by hatch-pip-compile with Python 3.12
#
# - boto3
# - mypy
# - pytest
# - ruff
# - sagemaker
# - boto3
# - matplotlib
# - sagemaker
#

aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.3
    # via tritonclient
aiosignal==1.4.0
    # via aiohttp
alembic==1.18.4
    # via mlflow
annotated-doc==0.0.4
    # via fastapi
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via omegaconf
anyio==4.12.1
    # via starlette
attrs==25.4.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
    #   sagemaker-core
bcrypt==5.0.0
    # via paramiko
blinker==1.9.0
    # via flask
boto3==1.42.65
    # via
    #   hatch.envs.default
    #   sagemaker-core
    #   sagemaker-mlflow
    #   sagemaker-mlops
    #   sagemaker-serve
botocore==1.42.65
    # via
    #   boto3
    #   s3transfer
    #   sagemaker-mlops
    #   sagemaker-serve
brotli==1.2.0
    # via geventhttpclient
cachetools==7.0.5
    # via
    #   mlflow-skinny
    #   mlflow-tracing
certifi==2026.2.25
    # via
    #   geventhttpclient
    #   requests
cffi==2.0.0
    # via
    #   cryptography
    #   pynacl
charset-normalizer==3.4.5
    # via requests
click==8.3.1
    # via
    #   flask
    #   mlflow-skinny
    #   uvicorn
cloudpickle==3.1.2
    # via
    #   mlflow-skinny
    #   sagemaker-core
contourpy==1.3.3
    # via matplotlib
cryptography==46.0.5
    # via
    #   google-auth
    #   mlflow
    #   paramiko
cycler==0.12.1
    # via matplotlib
databricks-sdk==0.98.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
deepdiff==8.6.1
    # via sagemaker-serve
docker==7.1.0
    # via mlflow
fastapi==0.135.1
    # via mlflow-skinny
filelock==3.25.1
    # via torch
flask==3.1.3
    # via
    #   flask-cors
    #   mlflow
flask-cors==6.0.2
    # via mlflow
flatbuffers==25.12.19
    # via onnxruntime
fonttools==4.62.0
    # via matplotlib
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.2.0
    # via torch
gevent==25.9.1
    # via geventhttpclient
geventhttpclient==2.3.9
    # via tritonclient
gitdb==4.0.12
    # via gitpython
gitpython==3.1.46
    # via mlflow-skinny
google-auth==2.49.0
    # via databricks-sdk
graphene==3.4.3
    # via
    #   mlflow
    #   sagemaker-train
graphql-core==3.2.8
    # via
    #   graphene
    #   graphql-relay
graphql-relay==3.2.0
    # via graphene
greenlet==3.3.2
    # via
    #   gevent
    #   sqlalchemy
gunicorn==25.1.0
    # via mlflow
h11==0.16.0
    # via uvicorn
huey==2.6.0
    # via mlflow
idna==3.11
    # via
    #   anyio
    #   requests
    #   yarl
importlib-metadata==6.11.0
    # via
    #   mlflow-skinny
    #   opentelemetry-api
    #   sagemaker-core
iniconfig==2.3.0
    # via pytest
invoke==2.2.1
    # via paramiko
itsdangerous==2.2.0
    # via flask
jinja2==3.1.6
    # via
    #   flask
    #   sagemaker-train
    #   torch
jmespath==1.1.0
    # via
    #   boto3
    #   botocore
joblib==1.5.3
    # via scikit-learn
json5==0.13.0
    # via sagemaker-schema-inference-artifacts
jsonschema==4.26.0
    # via sagemaker-core
jsonschema-specifications==2025.9.1
    # via jsonschema
kiwisolver==1.5.0
    # via matplotlib
librt==0.8.1
    # via mypy
mako==1.3.10
    # via alembic
markdown-it-py==4.0.0
    # via rich
markupsafe==3.0.3
    # via
    #   flask
    #   jinja2
    #   mako
    #   werkzeug
matplotlib==3.10.8
    # via
    #   hatch.envs.default
    #   mlflow
mdurl==0.1.2
    # via markdown-it-py
ml-dtypes==0.5.4
    # via onnx
mlflow==3.10.1
    # via
    #   sagemaker-mlflow
    #   sagemaker-serve
    #   sagemaker-train
mlflow-skinny==3.10.1
    # via mlflow
mlflow-tracing==3.10.1
    # via mlflow
mock==4.0.3
    # via sagemaker-core
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
mypy==1.19.1
    # via hatch.envs.default
mypy-extensions==1.1.0
    # via mypy
nest-asyncio==1.6.0
    # via sagemaker-train
networkx==3.6.1
    # via torch
numpy==2.4.3
    # via
    #   contourpy
    #   matplotlib
    #   ml-dtypes
    #   mlflow
    #   onnx
    #   onnxruntime
    #   pandas
    #   sagemaker-core
    #   scikit-learn
    #   scipy
    #   skops
    #   tritonclient
nvidia-cublas-cu12==12.8.4.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.8.90
    # via torch
nvidia-cuda-nvrtc-cu12==12.8.93
    # via torch
nvidia-cuda-runtime-cu12==12.8.90
    # via torch
nvidia-cudnn-cu12==9.10.2.21
    # via torch
nvidia-cufft-cu12==11.3.3.83
    # via torch
nvidia-cufile-cu12==1.13.1.3
    # via torch
nvidia-curand-cu12==10.3.9.90
    # via torch
nvidia-cusolver-cu12==11.7.3.90
    # via torch
nvidia-cusparse-cu12==12.5.8.93
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.7.1
    # via torch
nvidia-nccl-cu12==2.27.5
    # via torch
nvidia-nvjitlink-cu12==12.8.93
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvshmem-cu12==3.3.20
    # via torch
nvidia-nvtx-cu12==12.8.90
    # via torch
omegaconf==2.3.0
    # via sagemaker-core
onnx==1.20.1
    # via sagemaker-serve
onnxruntime==1.24.3
    # via sagemaker-serve
opentelemetry-api==1.40.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
opentelemetry-proto==1.40.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-sdk==1.40.0
    # via
    #   mlflow-skinny
    #   mlflow-tracing
opentelemetry-semantic-conventions==0.61b0
    # via opentelemetry-sdk
orderly-set==5.5.0
    # via deepdiff
packaging==26.0
    # via
    #   gunicorn
    #   matplotlib
    #   mlflow-skinny
    #   mlflow-tracing
    #   onnxruntime
    #   pytest
    #   sagemaker-core
    #   skops
pandas==2.3.3
    # via
    #   mlflow
    #   sagemaker-core
paramiko==4.0.0
    # via
    #   sagemaker-core
    #   sagemaker-train
pathspec==1.0.4
    # via mypy
pillow==12.1.1
    # via matplotlib
platformdirs==4.9.4
    # via sagemaker-core
pluggy==1.6.0
    # via pytest
prettytable==3.17.0
    # via skops
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
protobuf==6.33.5
    # via
    #   databricks-sdk
    #   mlflow-skinny
    #   mlflow-tracing
    #   onnx
    #   onnxruntime
    #   opentelemetry-proto
    #   sagemaker-core
psutil==7.2.2
    # via sagemaker-serve
pyarrow==23.0.1
    # via mlflow
pyasn1==0.6.2
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.4.2
    # via google-auth
pycparser==3.0
    # via cffi
pydantic==2.12.5
    # via
    #   fastapi
    #   mlflow-skinny
    #   mlflow-tracing
    #   sagemaker-core
pydantic-core==2.41.5
    # via pydantic
pygments==2.19.2
    # via
    #   pytest
    #   rich
pynacl==1.6.2
    # via paramiko
pyparsing==3.3.2
    # via matplotlib
pytest==9.0.2
    # via
    #   hatch.envs.default
    #   sagemaker-serve
python-dateutil==2.9.0.post0
    # via
    #   botocore
    #   graphene
    #   matplotlib
    #   pandas
python-dotenv==1.2.2
    # via mlflow-skinny
python-rapidjson==1.23
    # via tritonclient
pytz==2026.1.post1
    # via
    #   pandas
    #   sagemaker-core
pyyaml==6.0.3
    # via
    #   mlflow-skinny
    #   omegaconf
    #   sagemaker-core
    #   sagemaker-train
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.32.5
    # via
    #   databricks-sdk
    #   docker
    #   mlflow-skinny
    #   sagemaker-core
rich==13.9.4
    # via sagemaker-core
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
rsa==4.9.1
    # via google-auth
ruff==0.15.5
    # via hatch.envs.default
s3transfer==0.16.0
    # via boto3
sagemaker==3.5.0
    # via hatch.envs.default
sagemaker-core==2.5.0
    # via
    #   sagemaker
    #   sagemaker-mlops
    #   sagemaker-serve
    #   sagemaker-train
sagemaker-mlflow==0.2.0
    # via sagemaker-train
sagemaker-mlops==1.5.0
    # via sagemaker
sagemaker-schema-inference-artifacts==0.0.5
    # via sagemaker-serve
sagemaker-serve==1.5.0
    # via
    #   sagemaker
    #   sagemaker-mlops
sagemaker-train==1.5.0
    # via
    #   sagemaker
    #   sagemaker-mlops
    #   sagemaker-serve
schema==0.7.8
    # via sagemaker-core
scikit-learn==1.8.0
    # via
    #   mlflow
    #   skops
scipy==1.17.1
    # via
    #   mlflow
    #   sagemaker-core
    #   scikit-learn
    #   skops
setuptools==82.0.1
    # via torch
six==1.17.0
    # via python-dateutil
skops==0.13.0
    # via mlflow
smdebug-rulesconfig==1.0.1
    # via sagemaker-core
smmap==5.0.3
    # via gitdb
sqlalchemy==2.0.48
    # via
    #   alembic
    #   mlflow
sqlparse==0.5.5
    # via mlflow-skinny
starlette==0.52.1
    # via fastapi
sympy==1.14.0
    # via
    #   onnxruntime
    #   torch
tblib==3.2.2
    # via
    #   sagemaker-core
    #   sagemaker-train
threadpoolctl==3.6.0
    # via scikit-learn
torch==2.9.1
    # via
    #   sagemaker-core
    #   sagemaker-serve
tqdm==4.67.3
    # via sagemaker-serve
triton==3.5.1
    # via torch
tritonclient==2.66.0
    # via sagemaker-serve
typing-extensions==4.15.0
    # via
    #   aiosignal
    #   alembic
    #   anyio
    #   fastapi
    #   graphene
    #   mlflow-skinny
    #   mypy
    #   onnx
    #   opentelemetry-api
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
    #   pydantic
    #   pydantic-core
    #   referencing
    #   sagemaker-core
    #   sagemaker-train
    #   sqlalchemy
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
tzdata==2025.3
    # via pandas
urllib3==2.6.3
    # via
    #   botocore
    #   docker
    #   geventhttpclient
    #   requests
    #   tritonclient
uvicorn==0.41.0
    # via mlflow-skinny
wcwidth==0.6.0
    # via prettytable
werkzeug==3.1.6
    # via
    #   flask
    #   flask-cors
yarl==1.23.0
    # via aiohttp
zipp==3.23.0
    # via importlib-metadata
zope-event==6.1
    # via gevent
zope-interface==8.2
    # via gevent
